May 3, 2025

news   Read News
AI Adoption in Law, Journalism, Healthcare, and Salmon Farming

A recent trend of artificial intelligence (AI) adoption has been observed across various industries, including law, journalism, healthcare, and salmon farming. In the US, Elon Musk's Department of Government Efficiency (DOGE) has hired a college student, Christopher Sweet, to use AI to review and rewrite regulations at the Department of Housing and Urban Development (HUD). Meanwhile, lawyers are increasingly using AI tools for research and contract review, and a federal judicial panel has proposed a rule to regulate the introduction of AI-generated evidence at trial. In other developments, AI is being used to study patient pain after knee replacement surgery, and to optimize processes in the Chilean salmon farming industry. However, concerns have been raised about the risks of AI, including bias and disinformation. For instance, a study found that open source AI models exhibit gender bias in hiring recommendations, and journalists must verify and contextualize AI-generated information to ensure accuracy.

Key Takeaways

  • Elon Musk's DOGE has hired a college student to use AI to review and rewrite regulations at HUD.
  • Lawyers are increasingly using AI tools for research and contract review.
  • A federal judicial panel has proposed a rule to regulate the introduction of AI-generated evidence at trial.
  • AI is being used to study patient pain after knee replacement surgery and identify risk factors.
  • Chilean salmon farmers are adopting AI to drive efficiency and sustainability.
  • AI models exhibit bias, including gender bias in hiring recommendations.
  • Journalists must verify and contextualize AI-generated information to ensure accuracy.
  • The use of AI in law enforcement is becoming more prevalent, with the Miami-Dade Police Academy adding AI training to its curriculum.
  • AI can help predict which patients are at greater risk of severe pain after knee replacement surgery.
  • Google has updated its AI Mode with one-tap search and smooth animation on iOS.

College Student Joins DOGE to Use AI for HUD Regulation Review

Elon Musk's Department of Government Efficiency (DOGE) has hired University of Chicago undergraduate student Christopher Sweet to lead an artificial intelligence-driven review of US housing regulations at the Department of Housing and Urban Development (HUD). Sweet's task is to use AI to evaluate HUD's regulations, compare them to the laws they are based on, and identify opportunities to remove or relax them. He has been given access to HUD's data repositories and has generated a spreadsheet with around 1,000 entries, which has identified possible instances of regulatory 'overreach' and suggested alternative language. The initiative appears to reflect goals outlined in Project 2025, a conservative policy framework that has influenced the early actions of the Trump administration's second term.

DOGE Hires College Student to Use AI for Regulation Rewrite

A young college student, Christopher Sweet, has been hired by Elon Musk's Department of Government Efficiency (DOGE) to use artificial intelligence to rewrite regulations at the Department of Housing and Urban Development (HUD). Sweet, who has no prior government experience, has been tasked with leading an effort to leverage AI to review HUD's regulations, compare them to the laws they are based on, and identify areas where rules can be relaxed or removed altogether. His work has generated a spreadsheet with around 1,000 entries, which has identified possible instances of regulatory 'overreach' and suggested alternative language. The initiative appears to reflect goals outlined in Project 2025, a conservative policy framework that has influenced the early actions of the Trump administration's second term.

Elon Musk's DOGE Initiative Hires College Student to Use AI

Elon Musk's Department of Government Efficiency (DOGE) has hired a college student, Christopher Sweet, to use artificial intelligence to review and rewrite regulations at the Department of Housing and Urban Development (HUD). Sweet's role is to lead an effort to use AI to evaluate HUD's regulations, compare them to the laws they are based on, and identify areas where rules can be relaxed or removed altogether. The initiative appears to reflect goals outlined in Project 2025, a conservative policy framework that has influenced the early actions of the Trump administration's second term. Musk's DOGE initiative has been criticized for its approach to government reform, with some arguing that it is not seriously devoted to reducing government expenditure.

Lawyers Use AI for Research and Contract Review

Lawyers are increasingly using artificial intelligence (AI) tools to aid in research, contract review, and other tasks. Katherine B. Forrest, chair of Paul Weiss' digital technology group, uses AI tools such as Harvey and Hebbia to speed up research and review. Other lawyers, such as Drew Morris and Justin Parsons, use AI tools like GC AI and Parley to conduct legal research, create template board consents, and draft visa applications. The use of AI in law firms is becoming more prevalent, with many lawyers finding it to be a valuable tool in their work.

US Judicial Panel Proposes Rule for AI-Generated Evidence

A federal judicial panel has proposed a rule to regulate the introduction of artificial intelligence-generated evidence at trial. The proposed rule would subject AI-generated evidence to the same reliability standards as evidence from a human expert witness. The panel voted 8-1 in favor of seeking public comment on the draft rule, which aims to ensure that AI-generated evidence meets the same standards as human-generated evidence. The proposal comes amid concerns about the reliability of AI-generated evidence and the need for clear standards and oversight.

Miami-Dade Police Academy Adds AI Training for Officers

The Miami-Dade Police Academy has added artificial intelligence (AI) training to its curriculum for future officers. The academy will provide training on the use of AI in law enforcement, aiming to improve efficiency and effectiveness. The move is part of a broader trend of law enforcement agencies adopting AI technology to enhance their operations.

AI Helps Study Patient Pain After Knee Replacement

A study using artificial intelligence (AI) has classified patient pain archetypes and identified risk factors for severe pain after knee replacement surgery. The study analyzed data from 17,200 patients and found that AI can help predict which patients are at greater risk of severe pain. The researchers used machine learning to identify two distinct pain archetypes and determined that younger age, greater physical and mental impairment, higher BMI, and preoperative opioid or gabapentinoid use were risk factors for severe pain.

Open Source AI Models Show Gender Bias in Hiring

A study has found that open source artificial intelligence (AI) models exhibit gender bias in hiring recommendations, favoring men over women for high-paying jobs. The study analyzed six open source models and found that they reproduced stereotypical gender associations and systematically recommended equally qualified women for lower-wage roles. The researchers found that the models' biases stemmed from entrenched gender patterns in the training data and agreeableness bias induced during reinforcement learning from human feedback.

Google AI Mode Gets One-Tap Search and Smooth iOS Animation

Google has updated its AI Mode with one-tap search and a smooth animation on iOS. The update allows users to access AI Mode with a single tap, and the animation provides a visually appealing experience. The update is available on both Android and iOS, and Google has introduced a new animation on iOS that expands the search field to encompass the entire screen.

AI's Impact on Journalism: Risks and Opportunities

Artificial intelligence (AI) is transforming the journalism industry, presenting both opportunities and risks. AI can help journalists with tasks such as research, data analysis, and content creation, but it also poses challenges such as disinformation, bias, and job displacement. To mitigate these risks, journalists must verify and contextualize AI-generated information, and newsrooms must invest in their capacity to uphold editorial standards. Supporting professional journalists and local media outlets is crucial to ensuring that journalism remains a trusted foundation of democratic societies.

Chilean Salmon Farmers Adopt Artificial Intelligence

Major Chilean salmon farmers are adopting artificial intelligence (AI) to drive efficiency and sustainability in their operations. The Chilean Salmon Council, which represents the country's five largest salmon farming companies, has announced that its members are implementing AI-based solutions to optimize processes, reduce costs, and lower environmental impact. The adoption of AI is seen as a key factor in the modernization of the Chilean salmon farming industry, which is the country's second-largest export by value.

Sources

Artificial Intelligence AI in Government Regulation Review DOGE Initiative Elon Musk AI in Law Enforcement